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sha_context.cc
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sha_context.cc
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#include "sha_context.hh"
#include "sha1.hh"
#include <assert.h>
#include <cuda_runtime.h>
#include <helper_cuda.h>
sha_context::sha_context(device_context *dev_ctx)
{
for (unsigned i = 0; i <MAX_STREAM; i++) {
streams[i].out = 0;
streams[i].out_d = 0;
streams[i].out_len = 0;
}
dev_ctx_ = dev_ctx;
}
sha_context::~sha_context()
{
}
void sha_context::hmac_sha1(const void *memory_start,
const unsigned long in_pos,
const unsigned long keys_pos,
const unsigned long offsets_pos,
const unsigned long lengths_pos,
const unsigned long data_size,
unsigned char *out,
const unsigned long num_flows,
const unsigned int stream_id)
{
assert(dev_ctx_->get_state(stream_id) == READY);
dev_ctx_->set_state(stream_id, WAIT_KERNEL);
cuda_mem_pool *pool = dev_ctx_->get_cuda_mem_pool(stream_id);
void *memory_d = pool->alloc(data_size);;
//copy input data
cudaMemcpyAsync(memory_d,
memory_start,
data_size,
cudaMemcpyHostToDevice,
dev_ctx_->get_stream(stream_id));
//variables need for kernel launch
int threads_per_blk = SHA1_THREADS_PER_BLK;
int num_blks = (num_flows+threads_per_blk-1)/threads_per_blk;
//allocate buffer for output
uint32_t *out_d = (uint32_t *)pool->alloc(20 * num_flows);
//initialize input memory offset in device memory
char *in_d = (char *)memory_d + in_pos;
char *keys_d = (char *)memory_d + keys_pos;
uint32_t *pkt_offset_d = (uint32_t *)((uint8_t *)memory_d + offsets_pos);
uint16_t *lengths_d = (uint16_t *)((uint8_t *)memory_d + lengths_pos);
//clear checkbits before kernel execution
dev_ctx_->clear_checkbits(stream_id, num_blks);
if (dev_ctx_->use_stream() && stream_id > 0) { //with stream
hmac_sha1_gpu(in_d,
keys_d,
pkt_offset_d,
lengths_d,
out_d,
num_flows,
dev_ctx_->get_dev_checkbits(stream_id),
threads_per_blk,
dev_ctx_->get_stream(stream_id));
} else if (!dev_ctx_->use_stream() && stream_id == 0) {//w/o stream
hmac_sha1_gpu(in_d,
keys_d,
pkt_offset_d,
lengths_d,
out_d,
num_flows,
dev_ctx_->get_dev_checkbits(stream_id),
SHA1_THREADS_PER_BLK);
} else {
assert(0);
}
assert(cudaGetLastError() == cudaSuccess);
streams[stream_id].out_d = (uint8_t*)out_d;
streams[stream_id].out = out;
streams[stream_id].out_len = 20 * num_flows;
//if stream is not used then sync (assuming blocking mode)
if (dev_ctx_->use_stream() && stream_id == 0) {
sync(stream_id);
}
}
bool sha_context::sync(const unsigned int stream_id,
const bool block,
const bool copy_result)
{
if (block) {
dev_ctx_->sync(stream_id, true);
if (copy_result && dev_ctx_->get_state(stream_id) == WAIT_KERNEL) {
checkCudaErrors(cudaMemcpyAsync(streams[stream_id].out,
streams[stream_id].out_d,
streams[stream_id].out_len,
cudaMemcpyDeviceToHost,
dev_ctx_->get_stream(stream_id)));
dev_ctx_->set_state(stream_id, WAIT_COPY);
dev_ctx_->sync(stream_id, true);
}
if (dev_ctx_->get_state(stream_id) == WAIT_COPY) {
dev_ctx_->sync(stream_id, true);
dev_ctx_->set_state(stream_id, READY);
}
return true;
} else {
if (!dev_ctx_->sync(stream_id, false))
return false;
if (dev_ctx_->get_state(stream_id) == WAIT_KERNEL) {
//if no need for data copy
if (!copy_result) {
dev_ctx_->set_state(stream_id, READY);
return true;
}
checkCudaErrors(cudaMemcpyAsync(streams[stream_id].out,
streams[stream_id].out_d,
streams[stream_id].out_len,
cudaMemcpyDeviceToHost,
dev_ctx_->get_stream(stream_id)));
dev_ctx_->set_state(stream_id, WAIT_COPY);
} else if (dev_ctx_->get_state(stream_id) == WAIT_COPY) {
dev_ctx_->set_state(stream_id, READY);
return true;
} else if (dev_ctx_->get_state(stream_id) == READY) {
return true;
} else {
assert(0);
}
}
return false;
}